Evidence map›Paper›PMID 33606162›Full record

ArticleEnvironmental science and pollution research international2021

The evolution of new ventures' behavioral strategies and the role played by governments in the green entrepreneurship context: an evolutionary game theory perspective.

Xu Yang, Shan Liao, Runmao Li

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Article in Environmental science and pollution research international, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

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Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

3 citing papers in PubMed.

  1. Article
  2. Article
  3. Evolutionary game analysis of coal enterprise resource integration under government regulation.Environmental science and pollution research international · 2022
    Article
4 · The record

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PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

3 authors.

Xu YangSchool of Economics and Management, Harbin Engineering University, Harbin, 150001, People's Republic of China.
Shan LiaoSchool of Economics and Management, Harbin Engineering University, Harbin, 150001, People's Republic of China. liaoshan@hrbeu.edu.cn.ORCID http://orcid.org/0000-0002-2243-9941
Runmao LiSchool of Economics and Management, Harbin Engineering University, Harbin, 150001, People's Republic of China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Green entrepreneurship is a special type of entrepreneurship that can achieve sustainable development, which is advocated for by many countries and regions. Accordingly, large-scale green entrepreneurship activities of new ventures are appearing in the emerging green industry around the world. To initially study how to promote the diffusion of eco-innovation in green entrepreneurship activities, the evolutionary game models of new ventures' eco-innovation and greenwashing behavior affected by market mechanisms and government regulations were respectively established. Furthermore, a benign evolution path of the system was proposed by analyzing the evolutionary stable state of the green entrepreneurial system composed of the government and new ventures. Then, the simulation analysis was carried out using a case study to more intuitively observe the influence of some important parameters including government subsidies and so forth on the evolutionary stable state of the system. The research showed that it is difficult for pure market mechanisms to promote the spread of new ventures' eco-innovation behaviors in the initial stage of the development of the emerging green industry, and the government regulation is exceedingly important. The parallel use and timely adjustments between the government subsidy and penalty mechanisms can effectively promote the diffusion of new ventures' eco-innovation behaviors under certain conditions. Besides, the size (positive and negative) of the benefits gaps realized by "greenwashing" and "eco-innovation" radically determines the direction and result of the evolution of new ventures' behavioral strategies.

Indexed as

EntrepreneurshipGame TheoryGovernmentIndustrySustainable DevelopmentEco-innovationEvolutionary gameGovernment regulationGreen entrepreneurshipGreenwashingNew ventures

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.